🔊🌟 Calling all data engineers🌟🔊

​Join us for Databricks DevConnect Washington DC on Tuesday, November 4 from 5:00pm - 9:00pm ET!

➡️ RSVP HERE: luma.com/ena8irzu

Databricks DevConnect is a technical meetup designed for data engineers to get stuck into the details, collaborate, learn, and find your people - hosted by the Databricks Developer Relations team. Together, we’ll chat about new features, deep dive into meaty topics, share real-world experiences, and discover new ways to get Databricks to be the best developer you can be.

​Why You Can't Miss This Event:

• ​​🏆 Become a 10x Data Engineer by using the best of Databricks for your Data + AI projects

• ​​🧠 Learn from exclusive experts that you won’t hear anywhere else; from Product Managers, DevRel, and MVPs.

• ​​💬 Connect with your community and build relationships with peers, Developer Advocates, MVPs and Databricks Product Managers.

• ​👕 Get those goodies: Swag will be raffled off throughout the event and attendees will get access to hands-on training and guided labs through Databricks Academy Labs post event!

​AGENDA

• ​5:00 PM: Registration & Mingling 

• 6:00 PM: Welcome Remarks

  • ​Denny Lee, Product Management Director, Databricks

• ​6:15 PM ➡️ Session #1: Apache Iceberg™, Delta Lake & Unity Catalog: How to make them interoperable in your Lakehouse

  • ​Lisa Cao, Staff Developer Relations, Databricks

• ​6:45 PM ➡️ Session #2: Lakebase: Adding OLTP to the acronym stack of ELT, OLAP, BI & AI

  • ​Denny Lee, Product Management Director, Databricks

• 7:15 PM ➡️ Session #3: Don’t spend more than you have to with Cost Controls on Databricks

  • ​Nick Karpov, Staff Developer Advocate

• ​7:55 PM: Closing Remarks

  • ​Denny Lee, Product Management Director, Databricks

• ​8:00 PM: Networking Reception

• 9​:00 PM: Good night

​SESSION DESCRIPTIONS

• UC: The Everything Catalog
  It’s been four years since Unity Catalog has been introduced, originally to manage access to organised data and files. Today it’s the backbone of many exciting advancements including federated connectivity to third party services, table format agnosticism, automatically delivered system tables, lineage, background table optimisations, the list goes on. Join us to hear the latest developments and what the future holds.

• Lakebase: Adding OLTP to the acronym stack of ELT, OLAP, BI & AI
  In June, Databricks announced its acquisition of Neon, a managed postgres company. This isn’t just any old postgres instance, it has separated storage and compute (sound familiar?), branching, and now an integration to a unified data + AI platform. Together we’ll go through what transactional data can do for you, and how it works with Databricks.

• Don’t spend more than you have to with Cost Controls on Databricks
  No one likes being slapped with a massive cloud bill, especially ones caused by silly mistakes. Databricks has invested heavily into cost controls so you know how much you’re spending, prevent accidental spend, keep to your budget, and charge back to that vibe coding data scientist that insisted on GPUs.  

​SPEAKERS

• ​Denny Lee, Product Management Director, Databricks

• ​Lisa Cao, Staff Developer Relations, Databricks

• ​Nick Karpov, Staff Developer Advocate